C# Класс Encog.ML.Train.Strategy.ResetStrategy

The reset strategy will reset the weights if the neural network fails to fall below a specified error by a specified number of cycles. This can be useful to throw out initially "bad/hard" random initializations of the weight matrix.

Наследование: IStrategy

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Открытые методы

Метод	Описание
Init ( IMLTrain train ) : void	Initialize this strategy.
PostIteration ( ) : void	Called just after a training iteration.
PreIteration ( ) : void	Called just before a training iteration.
ResetStrategy ( double required, int cycles ) : Encog.Neural.Networks.Training	Construct a reset strategy. The error rate must fall below the required rate in the specified number of cycles, or the neural network will be reset to random weights and bias values.

Описание методов

Init() публичный Метод

Initialize this strategy.

public Init ( IMLTrain train ) : void
train	IMLTrain	The training algorithm.
Результат	void

PostIteration() публичный Метод

Called just after a training iteration.

public PostIteration ( ) : void
Результат	void

PreIteration() публичный Метод

Called just before a training iteration.

public PreIteration ( ) : void
Результат	void

ResetStrategy() публичный Метод

Construct a reset strategy. The error rate must fall below the required rate in the specified number of cycles, or the neural network will be reset to random weights and bias values.

public ResetStrategy ( double required, int cycles ) : Encog.Neural.Networks.Training
required	double	The required error rate.
cycles	int	The number of cycles to reach that rate.
Результат	Encog.Neural.Networks.Training